Everseen

Machine Learning Engineer

• Design and Development
• Collaborate with cross-functional teams to design and develop new features and functionalities.
• Ensure that the developed solutions meet project objectives and enhance user experience.
• Coding
• Design and implement reusable, testable, efficient, and elegant code based on requirements.
• Ensure adherence to coding standards and best practices.
• Testing
• Create, maintain, and run unit tests for both new and existing applications and services.
• Aim to deliver defect-free and well-tested solutions.
• Data Analysis
• Analyze and collect data from various sources such as log files, application stack traces, and thread dumps.
• Utilize data analysis to identify trends, patterns, and potential areas for improvement.
• Continuous Integration and Continuous Deployment (CI/CD):
• Create and maintain CI/CD integration using various tools.
• Automate the build, test, and deployment processes to ensure efficiency and reliability.
• Integration of Third-Party Solutions
• Evaluate and integrate third-party software solutions to optimize system performance.
• Expand product capabilities by integrating compatible third-party solutions.
• Update and track third-party solutions' compatibility with Everseen stack according to internal development guidelines.
• Monitoring and Troubleshooting
• Monitor production logs to identify and troubleshoot issues promptly.
• Ensure seamless operation and timely resolution of any anomalies to maintain system reliability.
• Documentation
• Responsible for creating, maintaining, and updating technical documentation to ensure code, systems, and processes are clearly understood and easily accessible by team members and stakeholders.

Software Development Engineer II – Machine Learning Operations

Data Analyst

• Build and own the Customer Intelligence Product Line that delivers actionable insights derived from Everseen’s AI platform and integrated third-party data sources.
• Define and maintain data quality and reporting standards to ensure reliable, consistent, and accurate insights for all customer-facing analytics products.
• Collaborate cross-functionally with the Data & Intelligence, Engineering, Research, Operations, and Sales & Marketing teams.
• Champion quality and continuous improvement, ensuring data integrity, performance consistency, and adherence to regulatory or contractual data standards.
• Develop and manage KPIs for intelligence product adoption, customer satisfaction, and product quality.
• Partner with Sales and Customer Success to translate intelligence insights into customer value stories and revenue opportunities.
• Lead a small but growing team of data quality analysts, reporting specialists, and data product managers as the product line scales.

Head of Quality – Customer Reporting and Data Analytics

General Counsel

• As Everseen’s dedicated DPO, you will fulfill all obligations required by the GDPR and relevant data protection laws, operating independently to advise and monitor privacy compliance within the organization.
• Advise the organization and its employees on Company obligations under GDPR / other data protection laws (e.g., US State laws/UK).
• Monitor compliance with data protection legislation and organizational policies, including oversight of internal privacy activities, staff privacy training, internal privacy audits, and undertaking of necessary Data Protection Impact Assessments (DPIAs).
• Serve as the main point of contact for, and cooperate with regulatory authorities for privacy and for individuals (data subjects) regarding privacy matters, including handling queries and complaints.
• Provide advice on, and monitor, DPIAs, especially for projects with high privacy risk.
• Inform and raise awareness within the organization regarding data protection issues, ensuring staff training and fostering a privacy-aware culture.
• Maintain a record of processing operations and ensure proper documentation of compliance efforts.
• Assess, and report on personal data breaches, and support organization with corresponding mitigation strategies.
• As Lead Privacy Counsel, you will serve as the legal subject matter expert for privacy advice and governance, providing appropriate expertise and execution support to the General Counsel & legal team on all privacy matters not reserved for the DPO.
• Act as the principal point of contact on privacy matters for the General Counsel, counseling on new products, services, and business initiatives from a privacy and data governance perspective.

Lead Privacy Counsel

Backend Engineer

• Own the design and implementation of the internal ML platform, enabling end-to-end workflow orchestration, resource management, and automation using cloud-native technologies (GCP/Azure).
• Design and manage Kubernetes-based infrastructure for multi-tenant GPU and CPU workloads with strong isolation, quota control, and monitoring.
• Integrate and extend orchestration tools (Airflow, Kubeflow, Ray, Vertex AI, Azure ML or custom schedulers) to automate data processing, training, and deployment pipelines.
• Develop shared services for model behavior/performance tracking, data/datasets versioning, and artifact management (MLflow, DVC, or custom registries).
• Document architecture, policies, and operational runbooks to ensure platform maintainability and transparency.
• Contribute to CI/CD pipelines for ML models, integrating automated testing, deployment, and rollback mechanisms.
• Build reusable components for data ingestion, model training.
• Ensure compliance with data governance, security, and audit requirements.

Machine Learning Platform – Backend Engineer

Product Manager

• Build a product line for retail customers based on intelligence gathered with Everseen products and other 3rd party data sources.
• Deliver product performance insight and retail product inventory shrinkage insight across geographies, regions, stores, and lanes.
• Work closely with Data and Intelligence, Engineering, Research, Operations, and Sales & Marketing teams to prioritize product features and support the development lifecycle from ideation to launch.
• Monitor product performance with data analytics to make informed product decisions.
• Build and communicate product vision and roadmap to stakeholders.

Senior Product Manager – Data Intelligence

Operations

• Own the operational strategy for the region
• Lead and manage Senior Operations Managers
• Define regional KPIs and performance metrics
• Oversee all capacity and resource planning
• Ensure consistency of operational standards across the region
• Drive continuous improvement and innovation
• Collaborate with Sales, Engineering, and Product leadership
• Represent regional operational needs in global planning discussions
• Provide executive-level updates on regional performance
• Lead, coach, and inspire Senior Operations Managers
• Engage with key accounts and stakeholders

Head of Operations – EMEA

Full-stack Engineer

• Collaborate with cross-functional teams to design and develop new features and functionalities
• Ensure that the developed solutions meet project objectives and enhance user experience
• Design and implement reusable, testable, efficient, and elegant code based on requirements
• Ensure adherence to coding standards and best practices
• Create, maintain, and run unit tests for both new and existing applications and services
• Analyze and collect data from various sources
• Create and maintain CI/CD integration using various tools
• Evaluate and integrate third-party software solutions to optimize system performance
• Monitor production logs to identify and troubleshoot issues promptly
• Responsible for creating, maintaining, and updating technical documentation

Software Development Engineer III

Artificial Intelligence

• Architect and oversee the adoption of scalable AI infrastructures and select appropriate frameworks, tools, and technologies.
• Ensure all products and systems adhere to a commonly defined performance evaluation methodology and appropriate monitoring and reporting systems are in place.
• Ensure AI solutions adhere to ethical standards and regulatory requirements.
• Collaborate with data scientists, engineers, and business stakeholders to integrate AI into products and services.
• Provide technical guidance and mentorship to cross-functional teams.

AI Architect, Infrastructure & Pipelines

• Design and develop new features and functionalities in collaboration with cross-functional teams
• Evaluate, integrate, and maintain third-party software solutions
• Develop comprehensive unit tests to validate code functionality and minimize regressions
• Create and maintain CI/CD integrations using GitLab CI
• Monitor production logs, investigate reported bugs, diagnose root causes, and implement fixes
• Analyze data from logs, application stack traces, and thread dumps to identify trends and issues
• Maintain technical documentation for code, systems, and processes
• Collaborate with Validation, DevOps, Product, Operations teams and customers' technical teams

Software Development Engineer II, Node.js

Pre-sales Engineer

• Deliver compelling, customized demonstrations of our technology to technical and business stakeholders.
• Own the technical components of the sales process, ensuring a seamless and informed sales journey.
• Engage directly with customer CTOs and technical leaders to build trust and instill confidence in our solution’s capabilities and fit.
• Work collaboratively with others in the sales team to define tailored technical solutions that align with customer needs and business goals and help drive the sales process.
• Act as the subject matter expert (SME) on our product, delivering deep technical insight and advice on the data insights gained.
• Provide technical expertise through presentations, solution designs, demonstrations and proof of concepts via various mediums; provide ongoing technical consultation addressing complex questions and objections.
• Translate customer requirements into solution architecture, clearly articulating how our platform solves real-world problems and the insights it generates.
• Provide excellent customer service anticipating and meeting the needs of the customer.
• Work collaboratively with Go-To-Market, Operations, Engineering and Product teams to document and improve best practice and processes; engage in continuous knowledge sharing.
• Stay up to date with developments in Everseen’s technology, Computer Vision, Gen AI, and the wider retail technology space.

Pre-Sales Engineer

• Design and develop new features and functionalities in collaboration with cross-functional teams to meet project objectives and enhance user experience.
• Evaluate, integrate, and maintain third-party software solutions to optimize system performance and expand product capabilities.
• Develop comprehensive unit tests to validate code functionality, ensure software quality, and minimize regression risks.
• Create and maintain CI/CD integrations using Gitlab CI.
• Monitor production logs to identify and troubleshoot issues, ensuring seamless operation and timely resolution of any anomalies.
• Investigate reported bugs, diagnose root causes, and implement effective solutions to address issues promptly and maintain system stability.
• Collaborate with Everseen’s Validation, DevOps, Product, Operations teams and customer’s technical teams.

Software Development Engineer III, JavaScript/TypeScript, Node.js, React

DevOps Engineer

• Design, code, test, and run CI/CD process and infrastructure software for the Everseen Edge platform
• Build tools to support field teams to access, deploy, upgrade, and monitor Edge software in customers' on-premises environments
• Ensure reliability, scalability, and availability of Edge software running in customer stores worldwide
• Deliver DevOps components for building, packaging, distributing, deploying, and monitoring containerized Edge applications
• Execute large-scale and mass service infrastructure deployments
• Maintain CI/CD pipelines using GitLab CI/CD, prioritizing extensibility and reusability
• Automate workflows and focus on infrastructure automation
• Share skills, knowledge, and expertise with peers across the DevOps team
• Adhere to established standards and best-practice DevOps guidelines and conventions
• Write and maintain DevOps documentation (articles, diagrams, data flows)
• Test infrastructure and ensure data is collected, analyzed and used in decision making
• Work collaboratively with wider project, engineering, security, and field teams
• Implement and maintain security best practices and manage container vulnerability scanning and remediation

DevOps Engineer II - Edge

• Design and develop new features and functionalities in collaboration with cross-functional teams.
• Evaluate, integrate, and maintain third-party software solutions.
• Develop comprehensive unit tests and maintain CI/CD integrations using Gitlab CI.
• Monitor production logs to identify and troubleshoot issues.
• Investigate reported bugs, diagnose root causes, and implement solutions.
• Create and maintain technical documentation.

Software Development Engineer I, NodeJS

Program Manager

• Accountable for the successful execution, management, and delivery of customer projects, ensuring adherence to scope and schedule.
• Create, maintain and update project plans, tracking all tasks, milestones, risks, and issues throughout the delivery process.
• Managing and owning all projects for three customers.
• Take full ownership of a number of customer projects, managing all aspects of these projects from initiation to completion.
• Lead all customer communication, fostering a close working relationship.
• Serve as the primary point of contact for customer inquiries and concerns.
• Track customer-facing tasks to ensure visibility and accountability.
• Provide innovative and effective solutions to address challenges encountered during project execution
• Collaborate cross-functionally to deliver projects within agreed scope and timelines, engaging with internal teams such as product development, implementation, and customer support
• Work closely with the Sales team and senior members of the delivery team to manage customer expectations regarding project delivery, providing regular updates on project progress.
• Coordinate all reporting with sales, customer success and data teams.
• Access historical project data to facilitate accurate forecasting and decision-making.
• Assist with coordinating system performance analysis with technical and data teams, ensuring the successful integration and functionality of customer systems.
• Create and coordinate Jira tickets to track project tasks internally across delivery and other departments, maintaining project updates in Salesforce.
• Utilize technical expertise to translate customer requirements into actionable features for technical teams.
• Assist with the management ongoing deployments and upgrades, integrating them seamlessly into existing projects. Ensure deployments are completed on time and within scope.
• Collaborate with customers to test and validate new features, gathering feedback for improvement.
• Work closely with Product Teams to incorporate customer feedback into product development.

Program Manager II, Delivery

Business Intelligence Developer

• Build and maintain fully automated advanced analytics dashboards and reports for clients based on outcomes from transaction monitoring and integration of customer and third-party data
• Conduct trend analysis and forecasting (alert patterns, usage growth, anomaly detection) at scale for clients, geographies, and the portfolio
• Present findings internally and externally to clients; explain reasoning, sources of truth, and reasons for reductions
• Utilize storytelling techniques to create intuitive reports, dashboards, and data visualizations; define and develop Power BI data models
• Ensure data models are robust to support complex analyses; document best practices, data extraction methods, and data sources
• Identify areas for improving data reliability, performance, and quality and propose/implement solutions
• Translate operations and sales requirements into actionable insights
• Work closely with the compliance team to ensure data-related regulations and company policies are adhered to by design
• Act as a mentor and develop into a subject matter expert, sharing skills and knowledge with earlier-career BI team members
• Foster collaboration and continuous learning through training sessions, workshops, and knowledge-sharing
• Collaborate with stakeholders to drive roadmap prioritization aligned with company goals and monitor progress towards objectives

BI Analyst III

Data Engineer

• Develop and maintain the enterprise data architecture blueprint aligned with business strategy and AI product roadmaps
• Define enterprise-wide data models, taxonomies, and standards for consistent data usage
• Design and oversee data integration solutions (ETL/ELT, APIs, streaming, event-driven architecture) across applications and platforms
• Enable real-time and batch data flows to support operational and analytical systems
• Implement data governance policies covering metadata management, data lineage, access control, and retention
• Define data quality metrics and oversee data cleansing and validation initiatives
• Select, implement, and manage enterprise data platforms (data lakes, API gateways, event streaming platforms)
• Ensure architectures are scalable, secure, and compliant with regulations (e.g., GDPR, CCPA)
• Identify opportunities for data-as-a-service offerings, dashboards, and commercial data products
• Define data licensing, pricing models, and usage tracking mechanisms
• Partner with engineering, data science, and business stakeholders to define data strategy that fuels AI innovation

Data Architect, Data Intelligence

Solutions Engineer

• Provide onsite and remote technical assistance and troubleshooting for platform users.
• Perform routine maintenance, POS integration, and issue resolution to enhance platform performance.
• Take ownership of platform performance, driving improvements through proactive monitoring and issue identification.
• Interact with customers to gather feedback, understand needs, and provide training.
• Tailor system settings and deliver technical reports and actionable recommendations.
• Serve as a liaison with internal and external stakeholders, including executives and partners, to address project updates and concerns.
• Oversee platform deployment and ensure efficient operation before, during, and after implementation.
• Collect and analyze data on platform usage, performance, and improvement opportunities.
• Collaborate with customers to analyze requirements and customize platform configurations.
• Translate business needs into detailed technical specifications.
• Identify, document, and mitigate risks that could impact program success.
• Work closely with software developers, R&D, and engineering teams to align application performance with specifications.
• Test platform performance under various conditions, making necessary adjustments to configurations for optimal results.
• Create and maintain comprehensive technical documentation, including user guides, training materials, and system specifications.
• Document changes to scope, timelines, and resources, ensuring alignment with stakeholder approvals.
• Act as the primary escalation point for L2/L3 monitoring or customer tickets and escalate unresolved issues to the appropriate teams.
• Facilitate customer onboarding through structured phases, providing regular program updates to senior management.
• Develop project plans, reports, and roadmaps to support customer objectives and the broader platform portfolio.
• Conduct product demonstrations and deliver compelling presentations to highlight platform features and value propositions.

Technical Solutions Engineer

• Manages and leads the region reporting to them from both an operational and strategic perspective.
• Has overall responsibility for the successful operation of the region’s deliverables.
• Deals with all capacity planning activities.
• Sets strategy and takes key decisions for the success of the region.
• Works with senior leadership to set strategic goals for their team.
• Responsible for the governance of the region. Acts as a point of escalation for both the team, internal and external stakeholders.
• Project Management and Execution 
• Oversees the development and execution of project plans, ensuring tasks, milestones, risks, and issues are effectively managed.
• Serves as the primary point of contact for project-related queries, coordinating with both internal and external stakeholders.
• Leads multiple customer projects from inception to completion, ensuring alignment with project scope and timelines in collaboration with sales, engineering, and product teams.
• Helps the team to identify creative and robust solutions to address project risks and issues, ensuring minimal impact on project timelines and deliverables. Support customer calls where necessary.
• Technical Implementation and Support 
• Manages the technical onboarding and deployment process for customers, with a focus on seamless installations of software solutions.
• Troubleshoots technical issues and provide timely solutions to ensure consistent and reliable service delivery.
• Act as a technical resource, providing insights and addressing challenges related to software, networking, and system integration.
• Cross-functional Collaboration and Communication 
• Works closely with sales, product development, and engineering teams to support project goals and customer satisfaction.
• Provides regular project updates, distribute meeting notes, and maintain transparency with all stakeholders.
• Liaises with the VP of Operations to report on project status, issues, and opportunities for process improvements.
• Documentation and Knowledge Management 
• Ensures that all technical and project documentation is complete, accurate, and accessible to relevant stakeholders.
• Contributes to the development of best practices for project management and technical processes within the region.
• Customer Relationship Management
• Builds strong relationships with regional customers, ensuring their needs are met and fostering long-term partnerships.
• Travel up to 30% to meet with customers across the region, facilitating successful project implementations and ongoing support.
• Fosters a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions.